Uttiya Basu

4.1k citations
47 papers · 2.8k · h-index 24

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer-related molecular mechanisms research

Papers in

    • RNA Research and Splicing 15
    • RNA modifications and cancer 9
    • CRISPR and Genetic Engineering 5
    • RNA and protein synthesis mechanisms 5
    • T-cell and B-cell Immunology 20
    • Immune Cell Function and Interaction 15

Uttiya Basu

42 papers receiving 2.8k citations

Peers

Uttiya Basu
Comparison fields: 5 of 90
  • Immunology 1.3k
  • Cancer Research 551
  • Molecular Biology 1.7k
  • Virology 56
  • Genetics 117
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Uttiya Basu relative to Claudia Bossen United States Claudia Bossen's profile →
Citations per field
00.5×2.5×
Claudia Bossen · 1×
Citations per year

Countries citing papers authored by Uttiya Basu

Since Specialization
Citations

This map shows the geographic impact of Uttiya Basu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Uttiya Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uttiya Basu more than expected).

Fields of papers citing papers by Uttiya Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uttiya Basu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Uttiya Basu. The network helps show where Uttiya Basu may publish in the future.

Co-authors

The 25 scholars most cited alongside Uttiya Basu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Uttiya Basu Line = papers co-authored together Uttiya Basu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015348
2 2011281
3 2011238
4 2005207
5 2007193
6 2020157
7 2001138
8 2006137
9 2014135
10 2016131
11 201399
12 201592
13 200976
14 201852
15 201746
16 202144
17 202140
18 200840
19 201735
20 202031

About Uttiya Basu

Uttiya Basu is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Oncology, having authored 47 papers that have together received 2.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (20 papers), RNA Research and Splicing (15 papers), Immune Cell Function and Interaction (15 papers), RNA modifications and cancer (9 papers), Cytomegalovirus and herpesvirus research (8 papers), Cancer-related molecular mechanisms research (6 papers), CRISPR and Genetic Engineering (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Immunology (1.3k citations), Cancer Research (551 citations), Molecular Biology (1.7k citations), Virology (56 citations) and Genetics (117 citations). Uttiya Basu has collaborated with scholars based in United States, China and France. Frequent co-authors include Frederick W. Alt, Gerson Rothschild, Evangelos Pefanis, Jayanta Chaudhuri, Junghyun Lim, Jiguang Wang, Raúl Rabadán, David Kazadi, Lekha Nair and Hachung Chung. Their work appears in journals such as Cell, Advances in immunology, Molecular and Cellular Biology, Current Opinion in Immunology and Frontiers in Immunology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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